DocumentCode :
240083
Title :
Comparative analysis of orbicularis oculi electromyogram and voice fundamental frequency variation in the context of acoustic startle response
Author :
Dropuljic, Branimir ; Mijic, Igor ; Petrinovic, Davor ; Cosic, Kresimir ; Jovanovic, Tanja
Author_Institution :
Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia
fYear :
2014
fDate :
5-7 Nov. 2014
Firstpage :
149
Lastpage :
154
Abstract :
This paper presents a comparison of two methods for measuring the acoustic startle response: orbicularis oculi (eyeblink) electromyogram (EMG), which is the conventional measure, and voice fundamental frequency (F0) variations as a consequence of laryngeal muscle innervations. A comparative analysis of the two approaches was performed using statistical methods, as well as system identification modeling using ARX, ARMAX, Output Error and Box-Jenkins models. For this purpose, an experiment was designed in which fourteen participants sustained constant phonation and acoustic startle stimuli of varying parameters were delivered at random time points during the phonation. Physiological signals, including eyeblink EMG, were acquired in parallel to voice recording. The comparative analysis showed that by increasing intensity of acoustic stimulus, response peak amplitudes of both: F0 variations and rectified and smoothed EMG responses increased as well. Therefore, voice F0 may be useful for startle response analysis when eyeblink EMG measurement is unavailable or impractical.
Keywords :
biomechanics; electromyography; eye; medical signal processing; speech; statistical analysis; ARMAX; Box-Jenkins models; acoustic startle context response; acoustic startle stimuli; acoustic stimulus intensity; comparative analysis; constant phonation; eyeblink EMG; eyeblink EMG measurement; laryngeal muscle innervations; orbicularis oculi electromyogram; output error; physiological signals; random time points; rectified EMG responses; response peak amplitudes; smoothed EMG responses; statistical methods; system identification modeling; voice fundamental frequency variation; voice recording; Acoustics; Autoregressive processes; Computational modeling; Electromyography; Frequency measurement; Muscles; Silicon; EMG eyeblink reflex; acoustic startle response; orbicularis oculi muscle; system identification modeling; voice fundamental frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Infocommunications (CogInfoCom), 2014 5th IEEE Conference on
Conference_Location :
Vietri sul Mare
Type :
conf
DOI :
10.1109/CogInfoCom.2014.7020436
Filename :
7020436
Link To Document :
بازگشت